Cargando…
A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework
The rice leaves related diseases often pose threats to the sustainable production of rice affecting many farmers around the world. Early diagnosis and appropriate remedy of the rice leaf infection is crucial in facilitating healthy growth of the rice plants to ensure adequate supply and food securit...
Autores principales: | Bari, Bifta Sama, Islam, Md Nahidul, Rashid, Mamunur, Hasan, Md Jahid, Razman, Mohd Azraai Mohd, Musa, Rabiu Muazu, Ab Nasir, Ahmad Fakhri, P.P. Abdul Majeed, Anwar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049121/ https://www.ncbi.nlm.nih.gov/pubmed/33954231 http://dx.doi.org/10.7717/peerj-cs.432 |
Ejemplares similares
-
The classification of motor imagery response: an accuracy enhancement through the ensemble of random subspace k-NN
por: Rashid, Mamunur, et al.
Publicado: (2021) -
The classification of skateboarding tricks via transfer learning pipelines
por: Abdullah, Muhammad Amirul, et al.
Publicado: (2021) -
Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review
por: Rashid, Mamunur, et al.
Publicado: (2020) -
Technical and tactical performance indicators discriminating winning and losing team in elite Asian beach soccer tournament
por: Muazu Musa, Rabiu, et al.
Publicado: (2019) -
The classification of EEG-based winking signals: a transfer learning and random forest pipeline
por: Mahendra Kumar, Jothi Letchumy, et al.
Publicado: (2021)